983632847/Awesome-Multimodal-Object-Tracking resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1057 stars · 56 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A continuously updated awesome-list and survey companion repository for multi-modal object tracking (MMOT), covering combinations of RGB, depth, thermal infrared, event, language, and audio modalities. It catalogs papers, datasets, and algorithms organized by task category and technical paradigm.

Use cases

• find recent papers on multi-modal object tracking
• survey RGB+thermal infrared tracking methods
• discover multi-modal tracking benchmark datasets
• research prompt learning or state space models for tracking
• start literature review for a tracking thesis
• compare tracking algorithms across modalities

When to choose

• you need a curated, continuously updated bibliography of MMOT research
• you want an overview of datasets and algorithm paradigms across tracking modalities
• you are surveying single-object tracking with multiple sensor modalities

When to avoid

• you need runnable tracking code or a library rather than a paper list
• you are working on multi-object tracking, which is out of scope
• you need a maintained software tool rather than a learning resource

Facets

learning-resource · maturity active

computer-vision video-processing documentation computer-vision artificial-intelligence tutorials cross-platform awesome-list multi-modal-tracking object-tracking survey research-paper-list rgb-t-tracking rgb-d-tracking rgb-e-tracking rgb-l-tracking single-object-tracking

Member repositories

For agents

markdown · JSON · MCP: product_card(name="983632847/Awesome-Multimodal-Object-Tracking")